Publications of Hyunjung (Helen) Shin

2007

Clark, R, Schweikert, G, Toomajian, C, Ossowski, S, Zeller, G, Shinn, P, Warthmann, N, Hu, T, Fu, G, Hinds, D, Chen, H, Frazer, K, Huson, D, Schölkopf, B, Nordborg, M, Rätsch, G, Ecker, J, and Weigel, D (2007). Common Sequence Polymorphisms Shaping Genetic Diversity in Arabidopsis thaliana Science, 317(5836):338 - 342. Printable file

Shin, H and Cho, S (2007). Neighborhood Property based Pattern Selection for Support Vector Machines Neural Computation, 19(3):816-855.

2006	Shin, H, Hill, NJ, and Raetsch, G (2006). Graph-based Semi-Supervised Learning with Sharper Edges Lecture Notes in Artificial Intelligence , 4212:402-413.

Cho, S, Shin, H, Yu, E, Ha, K, and MacLachlan, D (2006). Data mining problems and solutions for response modeling in CRM Entrue Journal of Information Technology, 5(1):55-64.

Shin, H and Tsuda, K (2006). Chapter 20: Prediction of Protein Function from Networks In: Semi-Supervised Learning. MIT press, chap. Chapter 20: Prediction of Protein Function from Networks, pp. 339-352.

2005	Shin, H and Cho, S (2005). Response Modeling with Support Vector Machines Expert Systems with Applications, 30(4):746-760.

Tsuda, K, Shin, H, and Schoelkopf, B (2005). Fast Protein Classification with Multiple Networks Bioinformatics, 21(2):59-65.

Shin, H and Cho, S (2005). Invariance of Neighborhood Relation under Input Space to Feature Space Mapping Pattern Recognition Letters, 26(6):707-718.

Shin, H (2005). Efficient Pattern Selection for Support Vector Classifiers and its CRM Application PhD thesis, Seoul National University.

2004	Shin, H and Cho, S (2004). Preservation of Neighborhood Relation under Input to Feature Space Mapping in SVM Training Proc. of the 33rd International Conference on Computers and Industrial Engineering (C&IE), in CD.

Shin, H, Tsuda, K, Cho, S, and Bernhard Schoelkopf (2004). Protein Functional Class Prediction with a Combined Graph: EM-like Optimization Proc. of Korean Data Mining Society Conference:135-155.

Sun, J, Cho, S, and Shin, H (2004). Pattern Selection for SVM based Futures Trading System Proc. of the Korean Data Mining Society Conference:175-183.

2003	Shin, H and Cho, S (2003). Fast Pattern Selection Algorithm for Support Vector Classifiers: Time Complexity Analysis Lecture Notes in Computer Science, 2690:1008-1015.

Shin, H and Cho, S (2003). Fast Pattern Selection Algorithm for Support Vector Classifiers Lecture Notes in Artificial Intelligence, 2637:376-387.

Jeong, D, Kim, Y, Cho, S, and Shin, H (2003). A Study on Rainfall-Runoff Models for Improving Ensemble Streamflow Prediction: 1. Rainfall-runoff Models Using Artificial Neural Networks Journal of the Korean Society of Civil Engineers, 23(6B):521-530.

Shin, H and Cho, S (2003). How Many Neighbors To Consider in Pattern Pre-selection for Support Vector Classifiers? Proc. of INNS-IEEE International Joint Conference on Neural Networks (IJCNN):565-570.

Shin, H and Cho, S (2003). How to Deal with Large Dataset, Class Imbalance and Binary Output in SVM based Response Model Proc. of the Korean Data Mining Society Conference:93-107.

Shin, H and Cho, S (2003). Time Complexity Analysis of Fast Pattern Selection Algorithm for SVM Proc. of the Korean Data Mining Society Conference:221-231.

2002	Shin, H and Cho, S (2002). Pattern Selection Algorithm for Support Vector Classifiers Lecture Notes in Computer Science, 2412:469-474.

Shin, H and Cho, S (2002). Pattern Selection Using the Bias and Variance of Ensemble Journal of the Korean Institute of Industrial Engineers, 28(1):112-127.

Shin, H and Cho, S (2002). Decision Boundary Pattern Selection for Support Vector Machines Proc. of the Korean Data Mining Society Conference.

Shin, H and Cho, S (2002). k-NN based Pattern Selection for Support Vector Classifiers Proc. of the Korean Operations Research and Management Science Society Conference:645-651.

2001	Shin, H and Sungzoon (2001). Pattern Selection for `Classification' using the Bias and Variance of Ensemble Neural Network Proc. of the 28th Korea Information Science Society Conference:307-309.

Shin, H and Cho, S (2001). Pattern Selection Using the Bias and Variance of Ensemble Proc. of the Korean Data Mining Society Conference:101-128.

Shin, H and Cho, S (2001). Pattern Selection for `Regression' using the Bias and Variance of Ensemble Network Proc. of the Korean Institute of Industrial Engineers Conference (KIIE).

2000	Shin, H, Lee, H, and Cho, S (2000). Observational Learning with Modular Networks Lecture Notes in Computer Science, 1983:126-132.

Shin, H, Lee, H, and Cho, S (2000). Ensemble Learning Algorithm of Specialized Networks Proc. of the Korea Information Science Society Conference:308-310.

Shin, H, Lee, H, and Cho, S (2000). Ensemble of Specialized Networks based on Input Space Partition Proc. of the Korean Operations Research and Management Science Society Conference:33-36.

Shin, H, Jang, M, Cho, S, and Lee, B (2000). Generalization Abilities of Ensemble Learning Algorithms Proc. of the Korean Brain Society Conference.

Shin, H, Jang, M, Cho, S, Lee, B, and Lim, Y (2000). Generalization Abilities of Ensemble Learning Algorithms: OLA, Bagging, Boosting Proc. of the 27th Korea Information Science Society Conference:226-228.

1998	Shin, H (1998). Qualitative Modeling for Data Miner's Requirement Master thesis, Seoul National University.

Shin, H and Jhee, W (1998). Qualitative Modeling for Data Miner's Requirements Proc. of the Korean Society of Management Information Systems Conference.

1996	Shin, H and Jhee, W (1996). Quality Prediction of Steel Products using Neural Networks Proc. of the Korean Expert System Society Conference.

Jhee, W, Park, S, Shin, H, and Shin, H (1996). KOSPI Prediction using Cascade-Correlation Network Proc. of the Korean Operations Research and Management Science Society Conference.